From web crawled text to project descriptions: automatic summarizing of social innovation projects

Nikola Milošević; Dimitar Marinov; Abdullah Gök; Goran Nenadić

doi:10.1007/978-3-030-23281-8_13

From web crawled text to project descriptions: automatic summarizing of social innovation projects

Nikola Milošević^*, Dimitar Marinov, Abdullah Gök, Goran Nenadić

^*Corresponding author for this work

Hunter Centre For Entrepreneurship, Strategy And Innovation

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

2 Citations (Scopus)

93 Downloads (Pure)

Abstract

In the past decade, social innovation projects have gained the attention of policy makers, as they address important social issues in an innovative manner. A database of social innovation is an important source of information that can expand collaboration between social innovators, drive policy and serve as an important resource for research. Such a database needs to have projects described and summarized. In this paper, we propose and compare several methods (e.g. SVM-based, recurrent neural network based, ensambled) for describing projects based on the text that is available on project websites. We also address and propose a new metric for automated evaluation of summaries based on topic modelling.

Original language	English
Title of host publication	Natural Language Processing and Information Systems
Subtitle of host publication	24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings
Editors	Elisabeth Métais, Farid Meziane, Sunil Vadera, Vijayan Sugumaran, Mohamad Saraee
Place of Publication	Cham, Switzerland
Publisher	Springer
Pages	157-169
Number of pages	13
ISBN (Print)	9783030232801
DOIs	https://doi.org/10.1007/978-3-030-23281-8_13
Publication status	Published - 21 Jun 2019
Event	24th International Conference on Application of Natural Language to Information Systems, NLDB 2019 - Salford, United Kingdom Duration: 26 Jun 2019 → 28 Jun 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11608 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	24th International Conference on Application of Natural Language to Information Systems, NLDB 2019
Country/Territory	United Kingdom
City	Salford
Period	26/06/19 → 28/06/19

Funding

Acknowledgments. The work presented in this paper is part of the KNOWMAK project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 726992.

Keywords

evaluation metrics
natural language processing
neural networks
social innovation
summarization
SVM
text mining

Access to Document

10.1007/978-3-030-23281-8_13

Milosevic-etal-NLDB2019-From-web-crawled-text-to-project-descriptionsAccepted author manuscript, 238 KB

https://arxiv.org/abs/1905.09086

Cite this

Milošević, N., Marinov, D., Gök, A., & Nenadić, G. (2019). From web crawled text to project descriptions: automatic summarizing of social innovation projects. In E. Métais, F. Meziane, S. Vadera, V. Sugumaran, & M. Saraee (Eds.), Natural Language Processing and Information Systems: 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings (pp. 157-169). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11608 LNCS). Springer. https://doi.org/10.1007/978-3-030-23281-8_13

Milošević, Nikola ; Marinov, Dimitar ; Gök, Abdullah et al. / From web crawled text to project descriptions : automatic summarizing of social innovation projects. Natural Language Processing and Information Systems: 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings. editor / Elisabeth Métais ; Farid Meziane ; Sunil Vadera ; Vijayan Sugumaran ; Mohamad Saraee. Cham, Switzerland : Springer, 2019. pp. 157-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In the past decade, social innovation projects have gained the attention of policy makers, as they address important social issues in an innovative manner. A database of social innovation is an important source of information that can expand collaboration between social innovators, drive policy and serve as an important resource for research. Such a database needs to have projects described and summarized. In this paper, we propose and compare several methods (e.g. SVM-based, recurrent neural network based, ensambled) for describing projects based on the text that is available on project websites. We also address and propose a new metric for automated evaluation of summaries based on topic modelling.",

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Milošević, N, Marinov, D, Gök, A & Nenadić, G 2019, From web crawled text to project descriptions: automatic summarizing of social innovation projects. in E Métais, F Meziane, S Vadera, V Sugumaran & M Saraee (eds), Natural Language Processing and Information Systems: 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11608 LNCS, Springer, Cham, Switzerland, pp. 157-169, 24th International Conference on Application of Natural Language to Information Systems, NLDB 2019, Salford, United Kingdom, 26/06/19. https://doi.org/10.1007/978-3-030-23281-8_13

From web crawled text to project descriptions: automatic summarizing of social innovation projects. / Milošević, Nikola; Marinov, Dimitar; Gök, Abdullah et al.
Natural Language Processing and Information Systems: 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings. ed. / Elisabeth Métais; Farid Meziane; Sunil Vadera; Vijayan Sugumaran; Mohamad Saraee. Cham, Switzerland: Springer, 2019. p. 157-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11608 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - From web crawled text to project descriptions

T2 - 24th International Conference on Application of Natural Language to Information Systems, NLDB 2019

AU - Milošević, Nikola

AU - Marinov, Dimitar

AU - Gök, Abdullah

AU - Nenadić, Goran

PY - 2019/6/21

Y1 - 2019/6/21

N2 - In the past decade, social innovation projects have gained the attention of policy makers, as they address important social issues in an innovative manner. A database of social innovation is an important source of information that can expand collaboration between social innovators, drive policy and serve as an important resource for research. Such a database needs to have projects described and summarized. In this paper, we propose and compare several methods (e.g. SVM-based, recurrent neural network based, ensambled) for describing projects based on the text that is available on project websites. We also address and propose a new metric for automated evaluation of summaries based on topic modelling.

AB - In the past decade, social innovation projects have gained the attention of policy makers, as they address important social issues in an innovative manner. A database of social innovation is an important source of information that can expand collaboration between social innovators, drive policy and serve as an important resource for research. Such a database needs to have projects described and summarized. In this paper, we propose and compare several methods (e.g. SVM-based, recurrent neural network based, ensambled) for describing projects based on the text that is available on project websites. We also address and propose a new metric for automated evaluation of summaries based on topic modelling.

KW - evaluation metrics

KW - natural language processing

KW - neural networks

KW - social innovation

KW - summarization

KW - SVM

KW - text mining

UR - https://www.scopus.com/pages/publications/85068326186

U2 - 10.1007/978-3-030-23281-8_13

DO - 10.1007/978-3-030-23281-8_13

M3 - Conference contribution book

AN - SCOPUS:85068326186

SN - 9783030232801

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 157

EP - 169

BT - Natural Language Processing and Information Systems

A2 - Métais, Elisabeth

A2 - Meziane, Farid

A2 - Vadera, Sunil

A2 - Sugumaran, Vijayan

A2 - Saraee, Mohamad

PB - Springer

CY - Cham, Switzerland

Y2 - 26 June 2019 through 28 June 2019

ER -

Milošević N, Marinov D, Gök A, Nenadić G. From web crawled text to project descriptions: automatic summarizing of social innovation projects. In Métais E, Meziane F, Vadera S, Sugumaran V, Saraee M, editors, Natural Language Processing and Information Systems: 24th International Conference on Applications of Natural Language to Information Systems, NLDB 2019, Salford, UK, June 26–28, 2019, Proceedings. Cham, Switzerland: Springer. 2019. p. 157-169. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-23281-8_13

From web crawled text to project descriptions: automatic summarizing of social innovation projects

Abstract

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Keywords

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